{"id":"W2158092612","doi":"10.1017/s1047951115000025","title":"Indications for cardiovascular magnetic resonance in children with congenital and acquired heart disease: an expert consensus paper of the Imaging Working Group of the AEPC and the Cardiovascular Magnetic Resonance Section of the EACVI","year":2015,"lang":"en","type":"article","venue":"Cardiology in the Young","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Bundesministerium für Bildung und Forschung; British Heart Foundation","keywords":"Medicine; Magnetic resonance imaging; Heart disease; Cardiac magnetic resonance; Expert opinion; Section (typography); Cardiac magnetic resonance imaging; Relevance (law); Modalities; Clinical Practice; Modality (human–computer interaction); Medical physics; Intensive care medicine; Radiology; Cardiology; Physical therapy; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001475165,0.0001986022,0.0006567399,0.00005315743,0.0002016375,0.000009960126,0.0002841665,0.00007063081,6.231952e-7],"category_scores_gemma":[0.0004664523,0.00009023536,0.0004818331,0.0004127276,0.002630588,0.00004289235,0.0002063233,0.0002086169,7.672293e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004678688,"about_ca_system_score_gemma":0.0001365667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003826132,"about_ca_topic_score_gemma":0.0001712805,"domain_scores_codex":[0.9973818,0.001229696,0.0003580518,0.0003517398,0.0004169486,0.0002617771],"domain_scores_gemma":[0.9981636,0.0002972092,0.0000822252,0.001250011,0.0001527839,0.00005417389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006215401,0.00003340458,0.9903309,0.00003326558,0.0004581556,0.00001005159,0.003363953,0.00004208429,0.0001502061,0.0001469204,0.00008456485,0.004725005],"study_design_scores_gemma":[0.003655814,0.00009140293,0.9904185,0.000153345,0.001127368,0.0007865735,0.002378705,0.0001535306,0.0000229868,0.0002762359,0.0008315896,0.0001039817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6995909,0.2976382,0.000005100045,0.000733177,0.0001277029,0.001770093,0.00003565623,0.000006019081,0.00009319888],"genre_scores_gemma":[0.9984956,0.0007540983,0.00004075833,0.0002012595,0.0001292796,0.0003379299,0.00000263848,0.00002195287,0.0000164923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2989047,"threshold_uncertainty_score":0.969251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339505372101502,"score_gpt":0.2334001950200323,"score_spread":0.2200051412990172,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}